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Development of a Scalable Web Application for Cost Comparison of Pharmacy Benefit Management Proposals
  1. case
  2. Development of a Scalable Web Application for Cost Comparison of Pharmacy Benefit Management Proposals

Development of a Scalable Web Application for Cost Comparison of Pharmacy Benefit Management Proposals

gloriumtech.com
Medical

Challenges Faced by Healthcare Organizations in Pharmacy Cost Optimization

Healthcare organizations encounter difficulties in efficiently analyzing and comparing various pharmacy benefit management (PBM) proposals, especially when managing large datasets, ensuring calculation accuracy in multithreaded environments, and integrating with external drug pricing databases. These issues hinder timely decision-making and may lead to suboptimal contract renewals and higher medication costs.

About the Client

A mid-sized health insurance provider seeking to optimize drug procurement costs by automating complex comparison and calculation processes.

Goals for Developing an Efficient Cost Comparison Web Tool

  • Create a secure, scalable web application capable of processing large datasets with high accuracy and performance.
  • Implement multithreaded calculation capabilities for rapid processing of complex cost models.
  • Seamlessly integrate with external drug pricing databases to ensure up-to-date and reliable data sources.
  • Enable users to compare multiple PBM proposals against existing contracts to facilitate optimal decision-making.
  • Develop a reliable environment for testing large datasets and producing precise results within short timeframes.

Core Functional Specifications for the Cost Optimization Platform

  • Data upload module for importing large datasets of drug costs and contract details
  • Multithreaded calculation engine to process complex pricing models rapidly and accurately
  • Integration layer with external medication pricing databases via protocols such as SFTP
  • Comparison module to evaluate PBM proposals against existing contracts and renewal costs
  • Security measures to protect sensitive data and ensure compliance
  • User-friendly dashboard for visualization and analysis of comparison outcomes

Technology Stack and Architectural Best Practices

Microservices architecture for scalability and modularity
Cloud platform deployment with Azure or equivalent
Backend developed with .NET Core for robustness and performance
Frontend built with Angular for dynamic user interfaces
PostgreSQL or comparable database for data storage

External System Integrations for Accurate and Up-to-Date Data

  • External drug pricing databases (e.g., MediSpan, NADAC) via secure protocols like SFTP
  • Existing contract databases for comparison and renewal tracking

Performance, Security, and Scalability Expectations

  • Ability to process large datasets efficiently with minimal latency
  • System capable of handling concurrent users and high data throughput
  • Compliance with security standards to safeguard sensitive health data
  • Reliable data processing with high accuracy during multithreaded calculations

Expected Business Outcomes from the Cost Comparison Platform

The implementation of this web application is expected to enhance the accuracy and speed of PBM proposal evaluations, enabling healthcare organizations to identify the most cost-effective contracts. This will result in significant cost savings, improved decision-making efficiency, and streamlined renewal processes. The platform’s ability to handle large datasets accurately within short timeframes will improve operational agility and support strategic financial planning.

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